Literature DB >> 6340559

Critiquing anesthetic management: the "ATTENDING" computer system.

P L Miller.   

Abstract

ATTENDING, a computer system under development using Artificial Intelligence techniques, is designed to critique an anesthetist's preoperative plan for anesthetic management. The system receives as input: 1) a list of a patient's medical problems; 2) a planned surgical procedure; and 3) an anesthetic plan outlining the agents and techniques to be used for premedication, induction, intubation, and maintenance of general or regional anesthesia. ATTENDING critiques this plan, discussing the risks and benefits of the proposed approach and of other reasonable approaches. To critique a physician's plan, the ATTENDING system must be able to 1) explore alternative approaches to a patient's management in a flexible fashion; 2) assess the relative risks and benefits of these alternatives; and 3) produce a readable, easily understood analysis written in English prose. This article describes how these design issues are addressed in ATTENDING's current implementation. The ATTENDING system is presently being used in a tutorial mode which allows self-evaluation by an anesthetist.

Entities:  

Mesh:

Year:  1983        PMID: 6340559     DOI: 10.1097/00000542-198304000-00011

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  14 in total

1.  The potential use of expert systems to enable physicians to order more cost-effective diagnostic imaging examinations.

Authors:  G D Sanders; E A Lyons
Journal:  J Digit Imaging       Date:  1991-05       Impact factor: 4.056

Review 2.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

3.  A four-phase model of the evolution of clinical decision support architectures.

Authors:  Adam Wright; Dean F Sittig
Journal:  Int J Med Inform       Date:  2008-03-19       Impact factor: 4.046

4.  Assessing the effectiveness of a computerized blood order "consultation" system.

Authors:  E F Lepage; R M Gardner; R M Laub; J T Jacobson
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

5.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

Review 6.  Artificial intelligence research in anesthesia and intensive care.

Authors:  G D Rennels; P L Miller
Journal:  J Clin Monit       Date:  1988-10

7.  Implementing an interface terminology for structured clinical documentation.

Authors:  Samuel Trent Rosenbloom; Randolph A Miller; Perry Adams; Sina Madani; Naqi Khan; Edward K Shultz
Journal:  J Am Med Inform Assoc       Date:  2013-02-05       Impact factor: 4.497

8.  Optimizing radiologic workup: an artificial intelligence approach.

Authors:  H A Swett; M Rothschild; G G Weltin; P R Fisher; P L Miller
Journal:  J Digit Imaging       Date:  1989-02       Impact factor: 4.056

Review 9.  Computers in anaesthesia.

Authors:  A Zissos; L Strunin
Journal:  Can Anaesth Soc J       Date:  1985-07

10.  Findings from an evaluation of PlanAlyzer's double cross-over trials of computer-based, self-paced, case-based programs in anemia and chest pain diagnosis.

Authors:  H C Lyon; J C Healy; J R Bell; J F O'Donnell; E K Shultz; R S Wigton; F Hirai; J R Beck
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991
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